https://www.handsfreetravel.com/

Your responsibilities

• Identify and analyze existing products and strategies in order to create innovative business approaches and opportunities.
• Monitor industry trends, competitive landscape, and product design and development in the marketplace to help create innovative product ideas.
• Work with cross-functional teams such as engineering and marketing to transform creative ideas into functional, saleable products and services.
• Conceive new and improved features by working closely with customer-focused teams to understand customer needs and transform them into product initiatives.
• Develop product roadmaps and manage the whole product lifecycle: from inception and prioritizing new features to final delivery.
• Regularly conduct feasibility studies and market research on potential product releases.
• Track metrics post-launch, to ensure products are delivering against key performance indicators.
• Make strategic and data driven decisions to prioritize certain product features over others and adjust as necessary.
• Deep strategic analysis to answer core questions such as: How can we help advertisers see better performance? Why do SMB advertisers churn? Who should our target audience be?
• Opportunity sizing and analysis. Write clear, actionable analyses that help teams identify areas of improvement and investment.
• Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc.
• Creating and tracking success metrics. Identify the right measures of success for engineering teams and help them track those metrics. Break down high-level metrics into actionable segments. This work may span from collecting entirely new datasets to building dashboards to track components of a metric.

What you'll need to succeed

• Proven experience as a Product Manager (at least 5 years related working experience), with a track record of managing all aspects of a successful product throughout its lifecycle.
• Understanding in software development knowledge, can communicate well with customers and development
• Ability to analyze data and iteratively optimize products based on data
• Ability to create and deliver presentations tailored to the audience needs.
• Strong problem-solving skills, coupled with effective communication and adept decision-making capabilities.
• Good project management skills with the ability to balance multiple concurrent projects.
• Experience with driving the product vision, go-to-market strategy and design discussions.
• Bachelor's degree in a relevant field.
• 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
• Strong background in statistics, machine learning, and/or experimentation
• Domain knowledge in advertising and product development.

We are seeking a talented and a motivated Senior Data Engineer to join our dynamic team. As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. You will collaborate closely with cross-functional teams to understand data requirements, optimize data models, and ensure the reliability and performance of our data systems.

Key Responsibilities:

 Design, develop, and maintain robust data pipelines to ingest, process, and transform large volumes of structured and unstructured data from various sources (e.g., Database, API, SFTP).

 Build and optimize data models and schemas to support efficient data storage, retrieval, and analysis.

 Implement data integration solutions to consolidate data from disparate systems and sources.

 Work closely with Data Scientists and Analysts to understand their requirements and provide them with clean, reliable, and well-structured data.

 Collaborate with DevOps and Infrastructure teams to deploy and manage data infrastructure in cloud environments (e.g., AWS, Azure).

 Familiar with the concept of data security to ensure the data pipelines are secured and PII (Personally Identifiable Information) data are encrypted.

 Monitor and optimize the performance, scalability, and reliability of data systems to ensure high availability and low latency.

 Design and develop MLOps production pipelines; provide technical support to data scientists/ML engineers by getting their ML/DL models deployed at scale and meeting SLAs on both cloud and on-premises GPU and CPU instances.

 Develop and maintain documentation, standards, and best practices for data engineering processes and technologies.

 Stay current with emerging technologies and trends in data engineering and contribute to the continuous improvement of our data architecture and practices.

 Explore, evaluate, and champion the introduction of next-generation technologies in the data-ingestion workflow. Participate in project planning and provide technical guidance on cloud architecture for data projects.

Requirements:

 BS in Computer Science or other related discipline is required. Advanced degrees in Computer Science (PhD, MS) are highly desirable.

 Proven experience (3 years) working as a Data Engineer or in a similar role.

 Strong proficiency in programming languages such as Python. Conversant with data structures and algorithm design.

 Hands-on experience with distributed computing frameworks and big data technologies such as Spark, Kafka, etc.

 Proficiency in SQL and experience with relational databases (e.g., Azure SQL DB, AWS Redshift).

 Experience with data modelling, ETL/ELT processes, and data warehousing concepts.

 Familiarity with cloud platforms and services (e.g., AWS S3, AWS Step Functions, AWS Airflow, Azure Data Logic Apps, Azure Blob Storage).

 Experience with setting up SSO using AD and implementing RBAC (Role Based Access Control) for data security.

 Excellent problem-solving skills and attention to detail.

 Effective communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

 Experience with version control systems (e.g., Git) and CI/CD pipelines is a plus.

About Us
We are living in dynamic times. Technology is reshaping how we live, and we want to use it to redefine how financial services are offered. This is why we are coming together to unlock big dreams, and financial inclusion for people in our region is just one of them. We want to build a digital bank with the right foundation - using data, technology and trust to solve problems and serve customers.

We're seeking a driven and skilled Credit Risk Data Scientist to join our dynamic team. If you're passionate about predictive modelling, risk management, and leveraging cutting-edge technologies, this role offers an exciting opportunity to contribute in two key areas:

Credit Risk Models:

• Develop, maintain, and monitor predictive models for credit scoring, fraud detection, and suspicious activity prediction.
• Write high-quality, production-ready code for models to be deployed in the production environment.
• Deploy models in the MLOps production environment, maintaining and troubleshooting any issues.
• Support regular model performance reviews, audits, and recalibrations.
• Leverage alternative data sources to enhance underwriting and credit risk models.
• Ensure alignment with model governance, business, and regulatory expectations.

Data Analytics to Help Business:

• Collect, process, and analyze data to support statistical analysis and risk decision-making.
• Design, implement, and maintain performance reports and actionable insights dashboards.
• Provide data-driven insights and develop dashboards to support loan approval processes and business decision-making.
• Conduct in-depth analyses to identify trends, patterns, and anomalies in lending data that can influence credit risk strategies.
• Present model concepts and metrics to senior stakeholders and validators/auditors.

Experience and Qualifications

• Degree (PhD, Master's, Bachelor's) in Statistics, Mathematics, Economics, Finance, Risk Management, or related field.
• Proven experience building risk models such as Application Score, Behavior Score, PD, EAD, LGD (Basel or IFRS 9), especially for retail customers in diverse countries including Singapore.
• Comprehensive understanding of risk management throughout the customer journey within fintech or risk-focused environments.
• Domain expertise in retail credit products, banking, and regulatory frameworks (Basel, IFRS).
• Proficiency in Python, R, SQL, Snowflake and Data Visualization tools like Tableau.
• Technical proficiency in data retrieval, data modeling, data mining, and predictive modeling.
• Strong familiarity with advanced machine learning techniques, statistical classification/regression for credit risk.
• Exceptional problem-solving skills, detail-oriented mindset, and ability to thrive in a dynamic work setting.
• Bonus: Familiarity with implementing models using Terraform scripts, Docker/Kubernetes, CI/CD technologies, AWS, or MLOps.

To process the following requests received from policyholders:

• Policy loan and surrender
• Change of address and contact
• Preparing documents for scanning into imaging system

Job assigned includes:

• Checking of completeness of documents submitted
• Checking of eligibility of application
• Typing of letters
• Any other ad hoc duties assigned by supervisors

Joy Yeow Zhi Qian

(CEI Registration No:R2096261)

Recruit Express Pte Ltd (EA Licence No: 99C4599)

We are seeking a highly skilled, detail-oriented, and analytical Data Management and Reporting Data Analyst to join our team. The successful individual will play a vital role in ensuring the organisation’s compliance with regulatory requirement through accurate and timely data analysis and reporting. He/she will also be responsible for collecting, extracting, managing, and analysing data to provide insights that drive decision-making and enhance the organisation’s operations.

The Challenges:

• Collect, extract, clean and manage data from various sources
• Ensure data accuracy, integrity, and security
• Design, develop and maintain database to efficiently store, manage, and secure structured data for easy retrieval, analysis, and decision-making
• Prepare, review, and submit regulatory reports to relevant authorities
• Monitor changes in regulatory requirements and adapt reporting processes accordingly
• Collaborate with cross-functional team to gather data and report requirements
• Create and maintain comprehensive reports and dashboards
• Perform data analysis to identify trends, patterns, and anomalies
• Interpret data and provide actionable recommendation for process improvement
• Present data insights and communicate findings, results, and recommendations to stake holders
• Develop and maintain documentation of data processing and reporting processes
• Provide insights and recommendation to improve compliance and reporting efficiency
• Continuously improve and automate the data extraction, integration, and database management processes
• Contribute to the development of data related strategy and initiatives
• Provide project management support in IT related projects that the department is involved with
• Carry out any other duties or responsibilities assigned by the Supervisor and/or the Head of Department

What it Takes:

• Bachelor’s Degree in Computer Science, Data Science, Data Analytics, Statistics, or a related field
• At least 2 years of relevant working experience in Data Management and Reporting
• Proficiency in data management tools and software (e.g. SAS, R, MS Excel, MS Access, Python, SQL query)
• Proficiency in data visualisation tools (e.g. Tableau, Power BI, QlikView/Qlik Sense)
• Prior hands-on experience in using OAS/OBIEE to create dashboards and to generate comprehensive reports preferred
• Prior hands-on experiences in UiPath (RPA software) will have added advantage
• Preferably work experience in health-related setting such as hospitals, public health organizations and academic institutions
• Ability to work in a team and independently with minimal supervision
• Work beyond routine work responsibilities and office hours, in the exigencies of services (e.g. during infectious disease outbreaks and mass casualty incident)

Sarah

Reg No: R2198293

EA License No: 21C0501

*We regret to inform that only shortlisted candidate will be notified. Thank you.

Duration: 1 year

Location: Caldecott

Working Hours: Monday - Thursday 830am to 6pm; Friday 830am to 530pm

Responsibilities:

• Support in administrative tasks such as maintaining and updating of data.
• To process simple data cleaning and analysis.
• Support the team in liaising with different agencies to coordinate meeting dates and to obtain the required updates.

Requirements:

• Singaporean
• IT degree and experience in Python.
• Detail-oriented.
• People-oriented.
• Able to process and structure large amounts of information.

To apply, simply click "APPLY" and submit your curriculum vitae (CV) through GO, the official PERSOLKELLY job application platform.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23114622 So Man Xin

Company Overview:

Loh Chwee Chew Mooring Services Private Limited (“LCC Mooring”) is a leading mooring service and maintenance company in Singapore. For over 56 years, LCC Mooring has been at the forefront of the maritime industry, employing over 400 dedicated mooring crew and professionals.

We believe in making mooring and maintenance work hassle-free, and we're not stopping there. We want to keep our client’s business operationally ready, always. We also want to be the most collaborative business partner in the maritime world always solving for our clients.

To achieve that, we're undergoing a business transformation, placing people at the heart of our organisation because our people matter to us. Imagine being part of a team that not only keeps Singapore's vital trade routes flowing smoothly but also values and empowers its employees

We are rewriting the future of the maritime industry, focusing on collaboration, innovation, and the well-being of our team members.

Join us in our journey of change and growth, and together, let's shape the future of the maritime world with LCC Mooring.

Administrative duties such as:

• Updating & execution of the computer system
• Updating inventory of products
• Generating reports etc.

Requirements:

• Minimum GCE ‘N’ level
• Computer literate
• Training will be provided
• Possess positive learning attitude & a good team player
• Able to work overtime

Location & Working hours

• Location: Penjuru Road
• 5day week (8.30am - 5.30pm)
• Preferable to start work immediately

Please note that we do not accept any walk-in interviews.

Join our dynamic team at LCC Mooring and contribute to our mission of providing hassle-free mooring and maintenance services. If you possess the necessary qualifications, a commitment to safety, and a willingness to learn, we invite you to apply for this position at Loh Chwee Chew Mooring Services Private Limited.

About Us

Real Estate Analytics is fast growing Singaporean property technology startup with international ambition whose mission is to research, develop and implement the next generation real estate modelling and analytics tools for global markets.

Responsibilities:

- Extract, Transform, and Ingest real estate data into data warehouse

- Build robust program for data extraction with failure retry with various queries (restful API, GraphQL, selenium, etc.)

- Design and implement data extraction solution in a distributed system

- Build efficient data pipelines (using Airflow, DBT, AWS etc.)

- Build data models and applications to support products and solve specific business needs (using SQL, Python etc.)

- Perform data validation to assure integrity, accuracy and consistency, identify the root cause of data inconsistencies and process defects, and implement timely corrective actions

- Maintain data pipeline to ensure the smooth operation

- Collaborate with data analysts, data scientists, and product teams to improve data flows and applications performance

Requirements:

- Major in computer science, computer engineering, data analytics or other related technical field preferred

- At least 2 years of experience in data related fields

- Experience in handling large data sets and working with structured, unstructured and geographical datasets
- Strong experience in developing with Python and SQL

- Experience with distributed computing, parallel processing, and working with large datasets

- Strong experience in data lakes (integration of different data sources into the data lake)

- Experience in using Apache Airflow, DBT and/or AWS will be an added advantage

- Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams

This is a 12-months contract position as a Senior Data Analyst.

Job Description:

• Lead a high-performing Data & Analytics team to design advanced visualizations and analytical models;
• Collaborate with teams to identify and deliver impactful analytical use cases, translating findings into actionable insights;
• Analyze large-scale (PB-scale) datasets using proprietary and open-source tools;
• Operate in a fast-paced environment, ensuring timely delivery of solutions.

Job Requirements:

• Degree in Mathematics, Statistics, Computer Science, Engineering, or related fields;
• 8+ years of experience in advanced analytics and team supervision;
• Skilled in problem-solving, abstract thinking, and analytical techniques for operational improvements;
• Strong communication, presentation, and project management abilities;
• Expertise in tools like R, SAS, Tableau, PowerBI, SQL, Python, or similar platforms;
• Expertise in DB tools and programming like SQL, Neo4J, VBA, C++, Java, Python.

We regret to inform that only shortlisted candidates will be contacted.

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

The Role

Veeva’s OpenData team is expanding rapidly across Asia. The vision of OpenData is to help the life sciences industry better connect with the healthcare ecosystems to improve care. The Product provides comprehensive reference and profile information on key aspects of healthcare, together with the insights needed by the industry.

Directly reporting to the Manager, OpenData Research Center, APAC we are looking for a Data Steward Team Lead who will be responsible for the direct supervision of data stewardship team members for the data offering in Pakistan within the APAC region.

You will also be responsible and retain all the responsibilities of a Data Steward, such as updating the attributes of records to improve core data, calling Group Practices, and updating provider affiliation information.

If you have a passion for data and quality – this is a great opportunity for you! Your role will be based in the Veeva Office in Singapore.

What You'll Do

• Recruit, coach, motivate, appraise and retain team members
• Deliver all necessary training to Data Stewards and audit the data quality
• Monitor, improve, and give feedback on individual and team performance
• Design, document, and optimize processes to ensure best-in-class delivery of data quality
• Ensure the team meets and exceeds productivity and quality standards
• Run the daily operations in the Data Stewardship team

Requirements

• BA/MA or equivalent degree
• Hindi language is required for facilitating phone / web research validation to both build and maintain the product. (The data sources need to be either phone or web validated with the respective hospitals, clinics, or pharmacies to ensure the data is accurate)
• 1+ year of work experience with leadership component; recent graduates who have leadership quality are welcome to apply
• Ability to learn quickly and independently
• Problem-solving and efficient time management skills
• Proficiency in Windows, Google apps, MS Office, and other office software
• People and result-oriented
• Experience in staff scheduling
• Highly organized, attention to detail, and focus on quality
• Fluent in English

Based in Singapore, the regional hub for Asia Pacific (AP) and top-ranked biopharmaceutical company on The Straits Times and Statista’s list of Best Employers in Singapore for two consecutive years (2020, 2021).

Join the premier biopharmaceutical company that has been in Singapore for more than 25 years and in AP for over 60 years.

We are seeking an experienced network data analyst to join our Network Observability organization. The role will be responsible for execution on our network capacity planning strategy and best practices. Under the direction and leadership of the Network Capacity Planning Product Manager, the primary responsibility of this analyst is to gather information from networking monitoring tools and system logs, analyze the information to make informed decisions regarding the enterprise network’s capacity and performance.

WHAT YOU WILL DO

Functional Responsibilities:

• Collaborate with demand management, network teams, and business units to understand current and future network requirements for capacity planning aligned with business goals.
• Conduct thorough analysis of network traffic, utilization rates, and performance metrics using predictive analysis to identify bottlenecks and areas for improvement. Incorporate historical data and consider projected growth and scalability requirements.
• Provide regular reports to management and stakeholders, including KPIs, utilization metrics, and recommendations for optimizing network capacity.
• Identify and mitigate potential risks related to capacity failures, network congestion, and implement measures to minimize performance degradation and outages.
• Participate in cross-functional projects, collaborating with project teams to incorporate capacity planning requirements into project plans and timelines.

Professional Competencies:

• Possess interpersonal and communication skills, able to write clear and concise proposals and presentations
• Ability to coordinate work tasks with others for timely completion and to avoid potential setbacks
• Ability to articulate complex and technical ideas accurately and clearly
• Ability to adapt current work processes to meet emerging needs and the ability to evaluate new ideas and proposed methods for practicality and ease of implementation

Qualification and Experience:

• Bachelor's degree from an accredited educational institution or equivalent corporate working experience
• Familiarity with key components and best practices of Observability
• 5+ years of strong engineering or operations experience with the components of a large global network infrastructure such as Routers, switches, LAN/SD-WAN, Load Balancer, Wireless, Cloud Networking and etc
• More than 1 year of specific experience in analytics or able to clearly articulate data driven decision making process
• Familiarity with network monitoring, reporting, and observability tools such as: SevOne, Logic Monitor, Thousand Eyes, Moogsoft, Dynatrace, NetBrain and/or Elastic
• Administration experience with monitoring tools in creating policies, fine-tuning parameters and setting proper thresholds will be added advantage
• Experience with one or more general purpose programming languages such as Java, JavaScript, and/or Python or willingness to learn one or more of them
• Experience in Ansible will be added advantage
• Experience in production of regular capacity report which will highlight actionable items based on the logic used. Development of key thresholds that will trigger improvement action plan would be added advantage
• Experience with IT service management, ITIL certification preferred

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.

At #TeamCPF, you’re not just joining a team; you are embracing a culture of excellence, collaboration, and meaningful impact. You will play a pivotal role in empowering over 4 million members to secure their retirement, healthcare, housing needs and better navigate life’s uncertainties.

We thrive on sharp minds and insightful decisions. Your ability to analyse and think critically isn't just valued; it's essential. Every choice you make contributes to our collective success.

Collaboration is our way of life. We believe in the power of effective partnerships and seamless communications across teams. Together, we amplify each other’s strengths and achieve remarkable results.

Our learning never stops. We encourage your inquisitiveness and courage to embrace new challenges head-on. Your agility, readiness to challenge conventions, embrace of data-driven strategies, dedication to learning and applying new skills fuels our innovation and progress.

At the core of everything we do lies a genuine desire to make a difference. We serve our community and support each other with compassion, empathy, and unwavering dedications. Every action we take is guided by a deep sense of purpose and a commitment to those we serve.

Join us at #TeamCPF! Together, let's redefine possibilities and leave a legacy that echoes for generations.

What you will be working on

As a member of the Data Exploitation & Process Engineering section, you will drive process re-engineering to enhance operational efficiency and sustainability. Your role includes deploying data analytics for insights, supporting data management through governance and process coordination, and developing the Healthcare Datamart. You will also integrate it with the Unified Data Platform (UDP) and create healthcare dashboards for data-driven decision-making.

In this role, you will:

• Work with stakeholders to design and implement a comprehensive data management framework, processes, and standard operating procedures (SOPs), ensuring consistent data quality and adherence to best practices across the organization.
• Partner with both internal and external stakeholders on data analytics projects to uncover insights that drive policy reviews and support the formulation of operational strategies aimed at achieving business goals and improving performance.
• Work closely with the IT support team to develop, manage, and maintain the healthcare data mart and associated IT systems, ensuring the timely availability, accuracy, and integrity of healthcare data for advanced analytics and decision-making.
• Manage day-to-day operations, including the preparation, analysis, and collation of reports and statistical submissions, ensuring timely and accurate delivery of data to stakeholders.
• Drive ongoing improvements in data management processes, leveraging feedback and insights to enhance operational efficiency, streamline workflows, and ensure data-driven decision-making at all levels.
• Collaborate across departments, aligning data initiatives with broader organizational objectives and supporting a culture of data-driven decision-making.

What we are looking for

We value the diverse talents and experiences that each individual brings to the table. While mastery of every requirement may not be necessary, familiarity and expertise in some of the following areas will position you for success within this team.

• Proven experience in data analytics, with a prior experience in analysing and interpreting complex datasets to drive actionable insights.
• Good analytical and numeracy skills, with familiarity in statistical and visualisation tools such as Python, PowerBI, SAS, and Tableau.
• Ability to apply critical thinking and problem-solving skills to interpret complex data, identify trends, and develop actionable insights.
• Ability to work independently and adapt to changing priorities and challenges.
• Ability to collaborate effectively with both internal and external stakeholders, fostering productive relationships to achieve desired outcomes.
• Good verbal and written communication skills, with the ability to clearly articulate complex concepts.
• Attention to detail, ensuring accuracy and integrity of data while managing and analysing large datasets.
• The seniority of appointment and actual corporate job title will commensurate with individual work experiences.
• Position is on a 1-year full-time contract directly under the payroll of CPF Board with an option to renew, contingent upon confirmation and subject to organisational needs.Additionally, there is potential for emplacement into a permanent position.

What you can expect

Being part of #TeamCPF means embarking on a challenging and rewarding career in a progressive workplace that values productivity and growth. Here’s what awaits you:

• Opportunities to engage in a mix of formal and informal training, keeping your skills sharp in our ever-evolving technological landscape.
• Promotion opportunities based on your capability and on-the-job performance.
• A vibrant community of like-minded and friendly colleagues, where collaboration and creativity thrive.
• A hybrid work model that offers flexibility for remote work, subject to exigencies of service.
• Flexible dress code that empowers you to choose your appropriate outfit for the day.
• A comprehensive rewards package that includes annual leave, pro-family leave, medical and dental benefits, and access to recreational activities.

About Central Provident Fund Board

At the Central Provident Fund (CPF) Board, we believe in developing individuals who are inspired to do their life’s best work, through 3Ps: Purposeful Work, Professional Growth, People & Culture.

Purposeful Work – The CPF Board helps 4 million members save for their retirement, healthcare and housing needs. Beyond being a pension fund, we are unique in being a national social security organisation, and we serve CPF members knowing that we make a difference.

Professional Growth – At CPF Board, you will have the opportunity to learn on the job and pick up new skills and knowledge. Although you are joining one organisation, you will have access to many career paths in the years ahead.

People and Culture – When you join CPF Board, you become part of a mission-oriented organisation with a strong culture of teamwork, collaboration, and innovation. As an employer, we value our people as our greatest asset, and foster a culture of respect, diversity, and inclusivity, where everyone's voice is heard, and contributions are recognised and celebrated.

Come and be a part of #TeamCPF today, to make a difference in the lives of others and in the future of Singapore.

Job Description:

Development and maintenance of Huawei Big Data Stack. Extraction of structured and unstructured data from different sources and create structured Data Models. Daily work will be on Hive, Spark & Hadoop and other related tools and technologies.

Develop features for recommendation to improve the business metrics like CTR, CVR etc.

Develop reports from the data based on the business requirements. Develop and Maintain systems for Self-Analytics and other Visualization requirements.

Maintain and Manage the daily running of the ETL jobs and fix the data pipeline issues, focus on “cost, compute, storage” optimization tasks on day to day basis.

Deploy Deep Learning Models, maintain and improve their prediction accuracy through data quality, feature enhancement and hyperparameter tuning.

Skills / Qualifications:

Master Degree/Bachelors in Computer Science or other related fields with coding and development background in the data base queries and related products.

Strong Working Experience with Hive, SQL, data modeling, and at least one programming language (Python, Java, Scala).

Strong working experience in big data technologies such as Apache Spark, Hive, Hadoop and Linux.

Strong capability to coalesce and present complex data sets from different sources to different data consumers.

Working Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy.

Working experience in determining and implementing the security models based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.

Solve data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources

Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts

Maintain the data ensure data is valid, avoid data duplicates before exposing.

Experience in data visualization and report generation, for AB Test and Model Performance.

Next Step

Click “apply” or send resume to: Ryce [email protected]

EA Licence No.91C2918| Personnel Registration No. R23117258

* Excellent customer service and customer acquisition

* Brand enhancement for reputable clients

* Conducting presentations

* Assisting in the local and regional expansion of our organisational growth

* Developing coaching skills

Benefits:

* One-to-one guidance

* Transparent career growth

* Leadership and personal development workshops

* Global overseas exposure

* Vibrant team environment

Requirements:

* Keen to learn, self driven individuals

* Team player with entrepreneurial mindset

* Good interpersonal skills

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Key Responsibilities

• Accurately document all equipment deliveries and removals.
• Conduct routine audits to ensure inventory integrity and compliance.
• Use equipment such as pallet jacks to facilitate safe item movement.
• Work within a ticketing system to manage tasks and assignments effectively.
• Execute the secure destruction of data-storing devices, including hard drives and SSDs.
• Manage shipping, receiving, and inventory processes.
• Prioritize and resolve tickets, escalate issues, and handle blockers to sustain inventory operations in line with service agreements.
• Be prepared to work outside standard business hours, including weekends or holidays, as needed.

Qualifications and Skills

• Diploma or Degree in IT, Computer Engineering, or a related discipline.
• At least one year of experience in IT Support or Systems Monitoring (fresh graduates with a proactive attitude are encouraged to apply).
• Minimum six months of experience in Inventory Control, Logistics, or Warehouse Management.
• Capable of performing physical tasks, including lifting and working at heights, with or without equipment assistance.
• Excellent communication skills in English, both spoken and written.
• Motivation to grow and learn new technical skills.

Follow us for more updates, interview tips!
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Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Working Hours:Mondays to Fridays, 9:30am to 4.30pm

(total of 28 working days during the period)

Working location: Buona Vista

Job Description

• Use IT tools to automate data collection processes for a research study (e.g., using macros in Microsoft Office applications such as Excel and Word):
• Generate administrative forms, reports and other materials to be sent to schools;
• Collate and check data submitted by schools;
• Communicate and clarify with schools on data submission.
• May also be required to perform other administrative tasks.

Requirement

• RA should be meticulous and strong in IT skills. He/she must be able to use IT tools to automate data collection processes (e.g., using macros in Microsoft Office applications such as Excel and Word).

Interested candidate please click "APPLY"to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R1879511 (Serena Ho)

Key Highlights:

• Attractive salary package: basic + allowance & annual bonuses
• Extensive medical benefits: outpatient, dental, optical, and annual health screening
• Working with world's leading company in generators and UPS products

About the Company:

For more than 100 years, out client has earned a global reputation as a pure power expert. The company's Power Systems are equipped with its innovation, including generators, transfer switches, switchgear, and controllers. Powering everything from gas stations to hotels and hospitals, as well as military operations and airports.

Basic Function:

As the Sales Engineer leads and develops Generator Sets sales strategies to generate new business opportunities to customers. This role involves locating, developing, defining, negotiating, and closing business relationships with key accounts, end customers, consultants, and system integrators. The ultimate goal is to achieve profitable growth by converting project pipelines into actual orders.

Key Responsibilities:

• Generate new business by contacting potential customers and analyzing market strategies.
• Collaborate with local, regional, and global teams to close new business deals.
• Maintain key relationships with end customers, influencers, and contractors.
• Build and advance sales opportunity pipelines to closure.
• Set budget forecasts and sales targets for the SEA Data Center market.
• Provide project guidance and pricing strategy to distribution networks.
• Identify strategic alliances to expand solutions and market reach.
• Provide marketing and technical support to distribution partners.
• Analyze sales and market data for senior management.
• Promote company's Power Systems at trade events and collaborate on marketing collateral.
• Be the expert in power products and solutions.

Qualifications:

• Degree in Electrical or Mechanical Engineering with at least 3-5 years in power generation sales.
• Proven direct and channel sales track record.
• Results-driven with strong competitive spirit.
• Team player with excellent interpersonal skills.

How to Apply:

Interested candidates, please submit your updated resume by using Apply button

*We regret to inform that only shortlisted candidates will be informed.*

Sarah Sevilla

Registration Number: R22107553

EA License No: 18C9027

Responsibilities:

• Collect, clean, and analyze large datasets from various sources including booking systems, cargo flow modules, management reporting and customer databases
• Develop and maintain data models, dashboards, and reports to visualize key performance indicators (KPIs) for various trade teams to make informed decisions
• Assist with the implementation of eCommerce projects and optimization of corporate systems, data and tools to enhance department productivity
• Identify patterns, trends, and anomalies in shipping data to optimize cargo selections, routing management, and inventory management
• Collaborate with cross-functional teams including, finance, logistics and operations to implement data-driven solutions and process improvements
• Steer improvement mindset and adoption of new technologies & processes
• Present findings and actionable recommendations to stakeholders through clear and concise reports and presentations

Job Requirements

• Bachelor's degree in Maritime, Data Science, Statistics or equivalent with at leats 1-2 years of experiences is advantageous
• Possess excellent data management, spreadsheet, and presentation skills.
• Knowledge in Tableau, Power BI preferred

If you meet the requirements of this role, please email a detailed resume in Word document to Chloe Tan Hui Lin.

Chloe Tan Hui Lin
CEI Registration No.: R1765524
Email: [email protected]
Recruit Express Pte Ltd
EA99C4599

*All information will be treated with strictest confidence. We regret that only short-listed applicants will be notified.

Job Requirements:

• Major in accounting, marketing, business administration, or related fields.
• Diploma or above.
• Proficient in office software.
• Positive work attitude and willingness to learn new business.
• Good learning attitude and ability.
• Strong logical thinking and numerical sense.
• Able to complete tasks on time.
• 5-day work week.
• Basic medical insurance coverage.

JOB DESCRIPTION

• Collect and organize marketing, procurement, and inventory business documents, and establish archives.
• Record contract information, classify and organize it as required, and prepare reports accordingly.
• Create procurement records, classify and organize them as required, and prepare reports accordingly.
• Record inventory information and prepare reports as required.
• Conduct physical inventory checks of various assets and stocks, and analyze discrepancies.
• Input marketing, procurement, and inventory information into the software system as required.
• Prepare operational, cost, and expense management reports.

• Provide accounting and clerical support to the accounting department
• Type accurately, prepare and maintain accounting documents and records
• Prepare bank deposits, general ledger postings and statements
• Reconcile accounts in a timely manner
• Daily enter key data of financial transactions in database
• Provide assistance and support to company personnel
• Research, track and restore accounting or documentation problems and discrepancies
• Inform management and compile reports/summaries on activity areas
• Function in accordance with established standards, procedures and applicable laws
• Constantly update job knowledge

Responsibilities:

• Deliver data centre operations support across multiple data centres

• Respond to all alarms/alerts set in Data Center Infrastructure Management (DCIM), Server Automation Operations System (SAOS), CCTV, Access Control Systems (ACS), and other functions (EHS, Security, etc),

• Provide deep understanding and intelligence of the criticality and impact of the incidents to the resolver groups.

• Ensure detailed records of alarm handling activities, including actions taken, resolutions in ticketing tools and file incident reports.

• Be available to coordinate as an incident commander in event of an issue.

• Support program managers and facilitate project deliverables, improve overall operational and engineering initiatives.

• Conduct root cause analysis (RCA) to determine recurring problems to their source.

• Employ in-depth questioning and analysis techniques such as five whys to determine the underlying cause of the incident or problem.

• Handle ticketing system

• Perform duties in compliance with SOP.

Requirements:

• Diploma/Degree in Information Technology.

• 2 years+ experience in command center, service center, or similar 24x7 operations center environment

• Ability to quickly triage multiple incidents and assign the right priority based on risk and confidence levels

• Knowledge of technical elements associated with systems such as IP Networks, DC Environment and Server Health.

• Outstanding verbal and written communication skills required, work with minimal direction, meeting goals, attention to details and an eye for continuous improvements

• Ability to successfully interact at all levels of the organization, including with clients, while functioning as a team player required.

• Basic working knowledge of data protection policies such as GDPR and the need to keep sensitive information secure.

Job Responsibilities

1. System Integration

• Interface with WhatsApp Business API and Help Desk systems to support message reception, distribution, and routing.
• Develop middleware for messaging to optimize cross-platform data synchronization and system communication efficiency.
• Integrate external APIs (e.g., flight, weather, hotel data) to provide clients with dynamic content.
• Ensure efficient data flow across systems, enhancing collaboration between systems and messaging services.

2. Knowledge Base Management and Optimization

• Build and maintain business knowledge bases, including playbooks, FAQs, and product information, ensuring data accuracy and timeliness.
• Optimize the knowledge base using vectorization techniques (e.g., embeddings) and Retrieval-Augmented Generation (RAG) to enhance contextual support for LLMs.
• Develop tools for automated knowledge base updates, supporting multi-language and dynamic content management.
• Collaborate with the NLP team to create efficient knowledge retrieval pipelines, enabling precise business context support for LLMs.

3. Data Stream Processing and Analysis

• Design and implement data pipelines for comprehensive workflows from collection, cleansing, storage, to analysis.
• Build real-time stream processing systems (e.g., Kafka or RabbitMQ) to ensure low-latency and high-throughput message transmission.
• Develop data monitoring tools to provide insights on performance, usage reports, and issue diagnostics.

4. LLM Support and Expansion

• Collaborate with the NLP team to optimize input data processing and context enhancement for LLMs.
• Provide API interfaces seamlessly integrated with the knowledge base, supporting multi-turn dialogues and complex task management via LLMs.
• Support future LLM projects, including multi-language conversations, sentiment analysis, and dynamic recommendation features.

5. Technical Support and System Optimization

• Optimize existing system architecture to enhance data flow and message processing efficiency.
• Diagnose and troubleshoot system issues to ensure high availability and stability.
• Participate in technical evaluations and introduce new technologies to deliver innovative solutions for business needs.

Job Requirements

1. Technical Skills

• System Integration:Proficient in RESTful API and Webhook development, capable of interfacing with WhatsApp Business API and Help Desk systems.
  Skilled in message queue tools (e.g., Kafka, RabbitMQ) to optimize message distribution and routing.
  
• Data Processing and Knowledge Base:Familiar with vector search technologies (e.g., FAISS, Elasticsearch) with experience in building and optimizing knowledge bases.
  Proficient in designing and optimizing SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
  
• Stream Processing and Automation:Experienced with real-time stream processing tools (e.g., Apache Flink, Apache Kafka Streams).
  Familiar with data pipeline tools (e.g., Apache Airflow, Luigi).
  
• LLM Support:Understand the fundamentals of large language models (e.g., GPT-4) and support RAG-based context-enhanced generation.
  NLP project experience is a plus.
  

2. Work Experience

• Bachelor’s degree or higher in Computer Science, Software Engineering, Data Science, or related fields.
• At least 3 years of experience in data processing, system integration, or backend development.
• Experience with distributed systems or knowledge base management is preferred.

3. Soft Skills

• Learning Ability: Passion for LLM and AI technologies with the ability to quickly grasp new skills.
• Cross-Team Collaboration: Capable of efficient collaboration with NLP, front-end development, and business teams.
• Problem Solving: Strong analytical skills to address complex system issues.
• Responsibility: Ability to independently drive project progress and deliver high-quality results.

Bonus Points

• Experience integrating WhatsApp Business API and Help Desk systems (e.g., Odoo, Zendesk, Freshdesk).
• Familiarity with vector databases (e.g., Pinecone, Weaviate, Milvus) or cloud services (AWS/GCP/Azure).
• Expertise in developing multilingual knowledge bases.
• Experience with large-scale system optimization or distributed system development.

Your career at NTT DATA Business Solutions

Empowering You – to feel our passion for SAP / Analytic Solutions

As NTT DATA Business Solutions, we are more than just a company. We are a team of innovative and passionate people who specialize in creating value-added SAP and Analytic solutions and guiding our customers on their journey to becoming intelligent businesses. We focus on SAP Consulting, SAP Development, Data Analytics, ServiceNow, Managed Cloud Services, Application Management Services (AMS) & Technology and beyond.

Our success is based on TOGETHERNESS, INNOVATION, TRUST, and SUSTAINABILITY – this is the heart of our corporate culture.

As part of the global NTT DATA Group, one of the top 10 IT service providers worldwide, we stand for our open and sustainable acting. More than 15,000 employees from 64 nations in over 30 countries show that diversity is integral to our DNA and that we live tolerance and respect every day.

People are the key to our success. We believe that every individual can make an important contribution and are therefore constantly on the lookout for talented people who can actively strengthen our team.

Are you ready to break new ground?

Job Summary

We are seeking a dynamic and results-driven Digital Marketing Manager to lead and execute our marketing strategies in the IT industry. This role involves managing digital marketing campaigns, cold calling prospective clients, and focusing on event management to drive brand awareness and business growth. The ideal candidate has a strong background in digital marketing, excellent communication skills, and a proactive approach to engaging new opportunities.

Key Responsibilities

Digital Marketing Strategy:

o Develop and implement comprehensive digital marketing plans to enhance brand presence and engagement.

o Manage and optimize online channels, including website, email marketing, SEO/SEM, social media (Youtube, LinkedIn, Facebook, Instagram), and paid advertising.

o Analyze and report on campaign performance metrics to assess ROI and identify improvement areas.

Cold Calling:

o Identify and research potential clients to expand the customer base.

o Conduct cold calls to introduce the company’s products or services and schedule follow-up meetings.

o Maintain accurate records of interactions and client feedback.

Event Management:

o Plan, organize, and execute events such as product launches, event, webinars, and other activities.

o Coordinate with internal teams and external vendors to ensure successful event execution.

o Monitor event performance and gather attendee feedback for continuous improvement.

Content Creation and Management:

o Develop engaging and relevant content for digital channels, including blogs, videos, and social media posts, with a focus on IT trends and solutions.

o Ensure brand consistency across all communication platforms.

o Photo and Video shooting.

Market Research:

o Stay updated on industry trends, competitor activities, and emerging digital marketing tools within the IT sector.

o Use insights to inform and enhance marketing strategies.

Relevant Experience & Skills

• Bachelor's degree in marketing, business, or other related field.
• Proven experience (5-7 years) in brand management, with a track record of successfully developing and executing brand strategies.
• Strong leadership and team management skills, with experience leading cross-functional teams.
• Exceptional communication and interpersonal skills, with the ability to inspire and influence others.
• Analytical mindset with the ability to use data and market research to inform branding decisions.
• Creative thinker with a keen eye for design and branding aesthetics.
• Demonstrated ability to work in a fast-paced, dynamic environment and adapt to changing priorities.
• Proficiency in brand management software and marketing tools.
• A passion for brand-building and a deep understanding of consumer behavior.
• Exceptional project management skills and the ability to meet deadlines and deliver results.
• Able to travel to other entities occasionally for meeting.

About Us
We are living in dynamic times. Technology is reshaping how we live, and we want to use it to redefine how financial services are offered. This is why we are coming together to unlock big dreams, and financial inclusion for people in our region is just one of them. We want to build a digital bank with the right foundation - using data, technology and trust to solve problems and serve customers.

We're seeking a driven and skilled Credit Risk Data Scientist to join our dynamic team. If you're passionate about predictive modelling, risk management, and leveraging cutting-edge technologies, this role offers an exciting opportunity to contribute in two key areas:

Credit Risk Models:

• Develop, maintain, and monitor predictive models for credit scoring, fraud detection, and suspicious activity prediction.
• Write high-quality, production-ready code for models to be deployed in the production environment.
• Deploy models in the MLOps production environment, maintaining and troubleshooting any issues.
• Support regular model performance reviews, audits, and recalibrations.
• Leverage alternative data sources to enhance underwriting and credit risk models.
• Ensure alignment with model governance, business, and regulatory expectations.

Data Analytics to Help Business:

• Collect, process, and analyze data to support statistical analysis and risk decision-making.
• Design, implement, and maintain performance reports and actionable insights dashboards.
• Provide data-driven insights and develop dashboards to support loan approval processes and business decision-making.
• Conduct in-depth analyses to identify trends, patterns, and anomalies in lending data that can influence credit risk strategies.
• Present model concepts and metrics to senior stakeholders and validators/auditors.

Experience and Qualifications

• Degree (PhD, Master's, Bachelor's) in Statistics, Mathematics, Economics, Finance, Risk Management, or related field.
• Proven experience building risk models such as Application Score, Behavior Score, PD, EAD, LGD (Basel or IFRS 9), especially for retail customers in diverse countries including Singapore.
• Comprehensive understanding of risk management throughout the customer journey within fintech or risk-focused environments.
• Domain expertise in retail credit products, banking, and regulatory frameworks (Basel, IFRS).
• Proficiency in Python, R, SQL, Snowflake and Data Visualization tools like Tableau.
• Technical proficiency in data retrieval, data modeling, data mining, and predictive modeling.
• Strong familiarity with advanced machine learning techniques, statistical classification/regression for credit risk.
• Exceptional problem-solving skills, detail-oriented mindset, and ability to thrive in a dynamic work setting.
• Bonus: Familiarity with implementing models using Terraform scripts, Docker/Kubernetes, CI/CD technologies, AWS, or MLOps.